Payments Data Analyst - Remote, Growth & Stock Options

Eneba; Polska; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Employee Stock Options

Learning budget

Flexible work location

Job summary

Eneba is hiring for a payments analytics role to support data collection, reporting, and optimization of payment processes. You’ll work with Product, Finance and Ops teams to monitor KPIs, analyze transaction data, and drive improvements in payment routing and reliability.

The ideal candidate has 1–3 years in analytics, strong SQL and experience with payments data. English proficiency and collaboration across functions are essential.

Qualifications

• 1–3 years in business analytics in finance, banking, consulting or similar sectors.
• Exposure to payments data (PSP, acquiring, or risk systems) is a strong plus.
• Advanced SQL and strong quantitative/analytical skills.
• Ability to translate data findings into actionable recommendations for non‑technical stakeholders.
• Excellent written and verbal communication skills.

Responsibilities

• Lead data collection and integration projects within the payments domain.
• Develop and maintain performance reports for payments analytics.
• Monitor KPIs and provide insights on payment performance and transaction volumes.
• Identify opportunities to optimize payment processes and reduce costs.
• Collaborate with data analysts, engineers and cross‑functional teams to ensure data accuracy.
• Support decision‑making with ad‑hoc analyses and research.

Skills

SQL

Payments analytics

Data interpretation

Stakeholder communication

Education

Bachelor's degree in analytics/finance/IT

Tools

Databricks

Tableau

Job description

Eneba is hiring for a payments analytics role to support data collection, reporting, and optimization of payment processes. You’ll work with Product, Finance and Ops teams to monitor KPIs, analyze transaction data, and drive improvements in payment routing and reliability.

The ideal candidate has 1–3 years in analytics, strong SQL and experience with payments data. English proficiency and collaboration across functions are essential.